H. Benítez-Pérez, F. Cárdenas-Flores, J.L. Ortega-Arjona, and F. García-Nocetti
Fault diagnosis, autonomous elements, self-organizing maps, unknown input observers
Fault detection and isolation (FDI) has become a useful strategy for determining fault appearance and on-line reconfiguration. However, unknown scenarios during on-line performance are still an open field for research. Different methods, such as knowledge-based techniques or analytical redundancy, have been followed. Nevertheless, both methods present inherent drawbacks for isolation. The present paper introduces a combined approach of model- and knowledge-based methods, using an autonomous element for isolation of unknown scenarios during on-line stage. The contribution is to integrate both methods to accomplish fault localization for unknown scenarios, based on previous information. Faults are constrained to certain bounded frequency response.
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